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| import gradio as gr | |
| from diffusers import StableDiffusionXLPipeline | |
| import numpy as np | |
| import math | |
| import spaces | |
| import torch | |
| import sys | |
| import random | |
| from gradio_imageslider import ImageSlider | |
| theme = gr.themes.Base( | |
| font=[gr.themes.GoogleFont('Libre Franklin'), gr.themes.GoogleFont('Public Sans'), 'system-ui', 'sans-serif'], | |
| ) | |
| pipe = StableDiffusionXLPipeline.from_pretrained( | |
| "stabilityai/stable-diffusion-xl-base-1.0", | |
| custom_pipeline="multimodalart/sdxl_perturbed_attention_guidance", | |
| torch_dtype=torch.float16 | |
| ) | |
| device="cuda" | |
| pipe = pipe.to(device) | |
| def run(prompt, negative_prompt="", guidance_scale=7.0, pag_scale=3.0, pag_layers=["mid"], randomize_seed=True, seed=42, progress=gr.Progress(track_tqdm=True)): | |
| prompt = prompt.strip() | |
| negative_prompt = negative_prompt.strip() | |
| if(randomize_seed): | |
| seed = random.randint(0, sys.maxsize) | |
| if(prompt == "" and negative_prompt == ""): | |
| guidance_scale = 0.0 | |
| generator = torch.Generator(device="cuda").manual_seed(seed) | |
| image_pag = pipe(prompt, guidance_scale=guidance_scale, pag_scale=pag_scale, pag_applied_layers=pag_layers, generator=generator, num_inference_steps=25).images[0] | |
| generator = torch.Generator(device="cuda").manual_seed(seed) | |
| image_normal = pipe(prompt, guidance_scale=guidance_scale, generator=generator, num_inference_steps=25).images[0] | |
| return (image_pag, image_normal), seed | |
| css = ''' | |
| .gradio-container{ | |
| max-width: 768px !important; | |
| margin: 0 auto; | |
| } | |
| ''' | |
| with gr.Blocks(css=css, theme=theme) as demo: | |
| gr.Markdown('''# Perturbed-Attention Guidance SDXL | |
| SDXL 𧨠[diffusers implementation](https://huggingface.co/multimodalart/sdxl_perturbed_attention_guidance) of [Perturbed-Attenton Guidance](https://ku-cvlab.github.io/Perturbed-Attention-Guidance/) | |
| ''') | |
| with gr.Group(): | |
| with gr.Row(): | |
| prompt = gr.Textbox(show_label=False, scale=4, placeholder="Your prompt", info="Leave blank to test unconditional generation") | |
| button = gr.Button("Generate", min_width=120) | |
| output = ImageSlider(label="Left: PAG, Right: No PAG", interactive=False) | |
| with gr.Accordion("Advanced Settings", open=False): | |
| guidance_scale = gr.Number(label="Guidance Scale", value=7.0) | |
| negative_prompt = gr.Textbox(label="Negative prompt", info="Is only applied for the CFG part, leave blank for unconditional generation") | |
| pag_scale = gr.Number(label="Pag Scale", value=3.0) | |
| pag_layers = gr.Dropdown(label="Model layers to apply Pag to", info="mid is the one used on the paper, up and down blocks seem unstable", choices=["up", "mid", "down"], multiselect=True, value="mid") | |
| randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
| seed = gr.Slider(minimum=1, maximum=18446744073709551615, step=1, randomize=True) | |
| gr.Examples(fn=run, examples=[" ", "an insect robot preparing a delicious meal, anime style", "a photo of a group of friends at an amusement park"], inputs=prompt, outputs=[output, seed], cache_examples=True) | |
| gr.on( | |
| triggers=[ | |
| button.click, | |
| prompt.submit | |
| ], | |
| fn=run, | |
| inputs=[prompt, negative_prompt, guidance_scale, pag_scale, pag_layers, randomize_seed, seed], | |
| outputs=[output, seed], | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(share=True) |